2 papers
cs.AI2025
Emergence: Overcoming Privileged Information Bias in Asymmetric Embodied Agents via Active Querying
Shaun Baek, Sam Liu, Joseph Ukpong
Large Language Models (LLMs) act as powerful reasoning engines but struggle with "symbol grounding" in embodied environments, particularly when information is asymmetrically distri…
cs.CL2025
Rosetta-PL: Propositional Logic as a Benchmark for Large Language Model Reasoning
Shaun Baek, Shaun Esua-Mensah, Cyrus Tsui +6
Large Language Models (LLMs) are primarily trained on high-resource natural languages, limiting their effectiveness in low-resource settings and in tasks requiring deep logical rea…